Global In-memory Computing Market 2016-2020
SKU ID :TNV-10293187 | Published Date: 24-Aug-2016 | No. of pages: 55Description
TOC
PART 01: Executive summary
• Highlights
PART 02: Scope of the report
• Market overview
• Common currency conversion rates
• Top-vendor offerings
PART 03: Market research methodology
• Research methodology
• Economic indicators
PART 04: Introduction
• Key market highlights
PART 05: Market landscape
• Market overview
• Market size and forecast
• Five forces analysis
PART 06: Market segmentation by product
PART 07: Geographical segmentation
• In-memory computing market in Americas
• In-memory computing market in EMEA
• In-memory computing market in APAC
PART 08: Summary of key figures
PART 09: Market drivers
• Rapid data explosion in networks
• Demand for effective and easy data access
• Exponential growth in amount of data stored and used
• Need to improve market responsiveness
PART 10: Impact of drivers
PART 11: Market challenges
• Data security and privacy issues
• Lack of awareness about in-memory computing technology
• Lack of standards and technical limitations of RAM
• High cost of implementation and introduction of new memory technologies
PART 12: Impact of drivers and challenges
PART 13: Market trends
• Increased demand from SMEs
• Increase in demand from BFSI sector
• Growing need for embedded analytics and SaaS-based in-memory computing
• High demand for cloud-computing services
PART 14: Buying criteria
PART 15: Vendor landscape
• Competitive scenario
• Vendor analysis 2015
• Other prominent vendors
PART 16: Analyst insight
PART 17: Appendix
• List of abbreviations
PART 18: Explore Technavio
List of Exhibits
Exhibit 01: Major countries covered
Exhibit 02: Standard currency conversion rates
Exhibit 03: Product offerings
Exhibit 04: Global in-memory computing market traction by geography
Exhibit 05: Global in-memory computing market overview
Exhibit 06: In-memory computing technology
Exhibit 07: Comparison between traditional and in-memory computing workflow
Exhibit 08: Evolution of DRAMs: 2006-2020
Exhibit 09: Characteristics of big data
Exhibit 10: Global in-memory computing market 2015-2020 ($ billions)
Exhibit 11: Five forces analysis
Exhibit 12: Global in-memory computing market by product
Exhibit 13: Global in-memory computing market by geography 2015
Exhibit 14: Global in-memory computing market by geography 2015-2020
Exhibit 15: Global in-memory computing market by geography 2015-2020 ($ billions)
Exhibit 16: In-memory computing market in Americas 2015-2020 ($ billions)
Exhibit 17: In-memory computing market in EMEA 2015-2020 ($ billions)
Exhibit 18: In-memory computing market in APAC 2015-2020 ($ billions)
Exhibit 19: Global in-memory computing market: CAGR comparison by geography 2015-2020
Exhibit 20: Global in-memory computing market key figures
Exhibit 21: Global in-memory computing market growth comparison by geography 2016-2020
Exhibit 22: Global statistics of mobile devices and mobile data traffic
Exhibit 23: Global digital content 2015: A snapshot
Exhibit 24: Impact of drivers
Exhibit 25: Impact of drivers and challenges
Exhibit 26: Vendor selection parameters
Exhibit 27: Global in-memory computing market by vendor ranking 2015
Exhibit 28: Other prominent vendors
Exhibit 29: Performance of a number of memory technologies
Tables & Figures
Companies
IBM, Oracle, QlikTech, SAP, Altibase, GridGain Systems, Microsoft, ScaleOut Software, Tibco Software.
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